Pay
In line with similar jobs
$168K–$252K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Roy, UT, US
Live, first seen by us 31 days agoDomain Expertise – Experience within defense, aerospace, or related high security environments is highly desirable, particularly in handling classified or sensitive data assets. Primary Level Salary Range: $168,200.00 - $252,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Must be a US citizen with the ability to obtain a USG secret clearance and obtain a SAP (Special Access to Programs)
Design a common data platform that is trustworthy, usable and scalable
Build secure big-data pipelines using Spark, Flink or Snowflake
Turn the Chief Data Officer's Data and AI strategy into an executable design
Set standards for model validation, reproducibility and analytic delivery
Mentor data scientists, engineers and analysts
Common Data Platform Design: Design the data platform that makes data trustworthy, usable, and scalable across the SDS division
Build resilient big‑data pipelines (Spark, Flink, Snowflake, etc.) that meet security classifications, privacy regulations, and governance standards.
Translate business the Chief Data Officers Data and AI Strategy into an executable design
Define and enforce standards for model validation, reproducibility, observability, and continuous delivery of analytic products.
Provide hands‑on guidance and career development for data scientists, engineers, and analysts
Data Modeling – Strong experience with data modeling and architecture patterns in cloud and hybrid cloud environments.
Typical Minimum Education or Experience • T05: 12 Years with Bachelors in Science; 10 Years with Masters; 8 Years with PhD. • Must be a US citizen with the ability to obtain a USG secret clearance and obtain a SAP (Special Access to Programs)
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$168K–$252K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 31
Similar jobs usually come down between day 7 and day 53.
At Northrop Grumman, jobs usually come down by about day 22.
From 7,871 similar postings that came down, and 261 of Northrop Grumman’s. Coming down is not always a hire.
21 open jobs
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• Digital/Data Modernization – Experience linking data into Digital Threads, and supporting AI/ML data pipelines. • Programming Proficiency – Strong command of Python, R, or Scala, and experience with big data platforms such as Databricks, Qlik, Cloudera, Hadoop, Spark, or Snowflake. Preferred Qualifications:
• Cross Functional Liaison – Ability to serve as a spokesperson on advanced projects, acting as an advisor to management, peers, and customers, and maintaining critical external contacts to capture emerging technical needs. • Advanced Certifications (preferred) – Certifications such as AWS Certified Big Data – Specialty, Google Professional Data Engineer, or equivalent industry credentials. • Domain Expertise – Experience within defense, aerospace, or related high security environments is highly desirable, particularly in handling classified or sensitive data assets.
• Must be a US citizen with the ability to obtain a USG secret clearance and obtain a SAP (Special Access to Programs) • Enterprise Scale Data Architectures and Platforms – Proven experience leading data integration across complex, heterogeneous systems to include low-code data fabric platforms (e.g. Palantir Foundry, Databricks Lakehouse, Microsoft Fabric, IBM Watsonx.data, Denodo, etc) for large-scale analytics. • Data Modeling – Strong experience with data modeling and architecture patterns in cloud and hybrid cloud environments.
What you will get to do: * Strategic roadmap: Translate business the Chief Data Officers Data and AI Strategy into an executable design * Strategic roadmap: Translate business the Chief Data Officers Data and AI Strategy into an executable design * Common Data Platform Design: Design the data platform that makes data trustworthy, usable, and scalable across the SDS division * Scalable, secure pipelines: Build resilient big‑data pipelines (Spark, Flink, Snowflake, etc.) that meet security classifications, privacy regulations, and governance standards. * Advanced analytics leadership: Champion modern statistical, machine‑learning, and deep‑learning methods (e.g., Bayesian inference, causal‑impact analysis) to solve high‑visibility problems and deliver competitive advantage. * Technical authority: Define and enforce standards for model validation, reproducibility, observability, and continuous delivery of analytic products. * Team mentorship: Provide hands‑on guidance and career development for data scientists, engineers, and analysts, fostering a culture of scientific rigor and innovation. * Change influence & liaison: Drive adoption of emerging data‑technologies, promote data‑centric decision‑making Basic Qualifications:
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Domain Expertise – Experience within defense, aerospace, or related high security environments is highly desirable, particularly in handling classified or sensitive data assets. Primary Level Salary Range: $168,200.00 - $252,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Roy, UT, US
• Enterprise Scale Data Architectures and Platforms – Proven experience leading data integration across complex, heterogeneous systems to include low-code data fabric platforms (e.g. Palantir Foundry, Databricks Lakehouse, Microsoft Fabric, IBM Watsonx.data, Denodo, etc) for large-scale analytics. • Data Modeling – Strong experience with data modeling and architecture patterns in cloud and hybrid cloud environments. • Outcome Oriented – Ability to translate data architecture into measurable outcomes (e.g. cost, schedule, performance, decision velocity)
• T05: 12 Years with Bachelors in Science; 10 Years with Masters; 8 Years with PhD. • Must be a US citizen with the ability to obtain a USG secret clearance and obtain a SAP (Special Access to Programs) • Enterprise Scale Data Architectures and Platforms – Proven experience leading data integration across complex, heterogeneous systems to include low-code data fabric platforms (e.g. Palantir Foundry, Databricks Lakehouse, Microsoft Fabric, IBM Watsonx.data, Denodo, etc) for large-scale analytics.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.